نتایج جستجو برای: material strengths and weaknesses

تعداد نتایج: 16867739  

Journal: :iranian journal of management studies 2011
hamid shahbandarzadeh fatemeh haghighat

one of the most important requirements of developing appropriate strategies for international marketing is correct identification of target markets. using quantitative techniques and decision making skills will lead to better results regarding the evaluation of marketing strategies. in this study, first we have used internal factor evaluation (ife) matrix for recognizing and comparing strengths...

ژورنال: بیمارستان 2013
افکار, ابوالحسن, خدابخشی نژاد, وجیه الله, مهرابیان, فردین, پوررضا, ابوالقاسم,

Background: The family physician program is considered to be one of the most remarkable reforms in the health care system which will probably Increase accessibility to physicians especially in deprived areas. This study aims to assess the strengths and weaknesses of family physician program in Fouman and Shaft cities in 1390.Materials and Methods: This is a descriptive cross-sectional and appli...

Journal: :Behavior research methods 2013
Olivier Le Meur Thierry Baccino

In this article, we are interested in the computational modeling of visual attention. We report methods commonly used to assess the performance of these kinds of models. We survey the strengths and weaknesses of common assessment methods based on diachronic eye-tracking data. We then illustrate the use of some methods to benchmark computational models of visual attention.

Journal: :Psychological assessment 2004
Marley W Watkins Gary L Canivez

The Wechsler Intelligence Scale for Children--Third Edition (D. Wechsler, 1991; WISC-III) is often used to identify subtest-based cognitive strengths and weaknesses that are subsequently used to generate interventions. Given that intelligence is presumed to be an enduring trait, cognitive strengths and weaknesses identified via subtest analysis should also be stable over time. This was evaluate...

2009
Sara C. Madeira Arlindo L. Oliveira

This document provides supplementary material describing related work on biclustering algorithms for time series gene expression data analysis. We describe in detail three state of the art biclustering approaches specifically design to discover biclusters in gene expression time series and identify their strengths and weaknesses.

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